CAISI would benefit from more resources, OSTP director tells lawmakers

Executive Summary

Bipartisan legislation (H.R. 9363) to codify the Center for AI Standards and Innovation (CAISI) into law is advancing through Congress (Status: committee). The proposal in discussion would increase CAISI resources from the current $20 million annually to potentially $100 million. That funding expansion and formal statutory authority — if enacted — are described in the Summary as likely to expand CAISI’s regulatory reach, testing, and evaluation activities for AI systems used by the federal government.

Government contractors across the listed segments should treat this as a medium-severity structural change: it increases both compliance burden and contracting opportunity. More funding and formal authority for CAISI means greater demand for testing, evaluation, standards development, and consulting to meet new CAISI-driven requirements. Contractors that build testing capabilities, align offerings to the listed compliance regimes, and position for vehicle-based task orders listed in the Tags will be best placed to convert rising standards and certification needs into revenue.

Impact Matrix

Artificial Intelligence

• Risk Level: High
• Opportunity: Expanded CAISI funding creates demand for AI testing, evaluation, and standards work. Specific NAICS and vehicles noted in inputs include NAICS: 541715, 541511, 541512, 541519, 541713; contract vehicles: OASIS+, CIO-SP4, SEWP, 8(a) STARS III, Alliant 3, GSA (General Services Administration) MAS.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Inventory AI systems used in government contracts; run gap analyses against CAISI-related testing expectations and the compliance surfaces listed in Tags; plan budget and staffing for potential certification/testing costs.
• Competitive Edge: Invest in or partner with accredited test labs and demonstrate early compliance workflows tied to CAISI priorities.

Machine Learning

• Risk Level: High
• Opportunity: Demand for model evaluation and lifecycle testing services (research/engineering support). Specific opportunities TBD pending solicitation language; NAICS codes in Tags apply.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Prepare ML model documentation, provenance, and validation artifacts; map development pipelines to the NIST AI Risk Management Framework and other listed compliance surfaces.
• Competitive Edge: Offer reproducible evaluation artifacts and standardized validation toolchains to accelerate agency acceptance.

AI Safety and Testing

• Risk Level: Critical
• Opportunity: Direct growth area: CAISI’s expanded budget is described as generating contracts for testing, evaluation, standards development, and lab support (NAICS cited in inputs: 541715, 541714, 541720). Contract vehicles listed in Tags could be used for tasking.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Build/scale testing capabilities, pursue partnerships with facilities or labs, and codify test plans and metrics that align to CAISI mandates as they appear.
• Competitive Edge: Create turnkey safety-testing offerings (methodology + tooling + reporting) that map to CAISI expectations and to compliance frameworks in the Tags.

IT Services

• Risk Level: Medium
• Opportunity: Consulting and integration work to implement CAISI-driven controls and test results into agency systems. Relevant NAICS appear in Tags. Contract vehicles in Tags may be relevant.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Update service lines to include CAISI-focused compliance support; train delivery teams on new testing/evaluation requirements and acceptance criteria.
• Competitive Edge: Bundle compliance advisory with integration and managed services to reduce agency procurement complexity.

Cybersecurity

• Risk Level: Medium-High
• Opportunity: Increased emphasis on AI safety/testing will intersect with cybersecurity requirements listed in Tags (e.g., NIST 800-53, NIST 800-171 (NIST Special Publication 800-171), CMMC (Cybersecurity Maturity Model Certification), FISMA). Services to align AI systems with those regimes will be in demand.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Crosswalk AI risk outcomes to existing cybersecurity controls; plan to incorporate AI-specific controls into risk assessments and system security plans.
• Competitive Edge: Integrate AI-specific controls into established cybersecurity compliance offerings to present a single-source compliance solution.

Data Science

• Risk Level: Medium
• Opportunity: Support for dataset provenance, bias testing, and evaluation work tied to CAISI testing and standards. NAICS in Tags apply.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Harden data governance, labeling, and instrumentation to produce audit-ready evidence for CAISI evaluations.
• Competitive Edge: Offer packaged data-prep and validation pipelines that streamline evaluation and reporting.

Software Development

• Risk Level: Medium
• Opportunity: Modifying software lifecycles and toolchains to produce artifacts needed for CAISI evaluation and certification; potential to sell updated DevSecOps pipelines.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Integrate testing hooks, telemetry, and documentation standards into development processes now so deliverables are CAISI-ready.
• Competitive Edge: Provide “CAISI-ready” development templates and CI/CD integrations that reduce time-to-evaluation.

Cloud Computing

• Risk Level: High
• Opportunity: Cloud and AI-as-a-service vendors that can meet CAISI evaluation/certification expectations could be favored; NAICS: 518210 and related codes cited in inputs. Vehicles in Tags may be relevant for procurement.
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Engage product teams to anticipate evaluation criteria; align with FedRAMP (Federal Risk and Authorization Management Program) where applicable and other listed compliance surfaces.
• Competitive Edge: Obtain demonstrable evidence of secure, tested deployments and offer pre-validated stacks for government customers.

Research and Development

• Risk Level: High
• Opportunity: Increased CAISI funding explicitly creates opportunities for R&D contracts supporting testing, standards development, and scientific research (NAICS: 541714, 541720, 541715 in inputs).
• Timeline: Advancing through Congress (H.R. 9363 — Status: committee).
• Action Required: Position teams to respond to CAISI solicitations and to collaborate with agencies and labs; prepare proposals that align to CAISI’s stated evaluation and standards objectives.
• Competitive Edge: Lead or join consortia that can bid for lab/standards work and demonstrate prior relevant testing experience.

Cross-Segment Implications

• Expanded CAISI authority creates a hub effect: AI Safety and Testing (critical) will generate workload that flows into Research & Development, Cloud Computing, AI/ML engineering, and IT Services. Testing outcomes and standards will cascade requirements into Software Development and Data Science practices, which will in turn demand cybersecurity controls and cloud compliance.
• Contractors that can bundle multidisciplinary capabilities (testing labs + software pipeline changes + cloud deployment + compliance advisory) will be advantaged. Conversely, niche vendors that cannot demonstrate compliance or testing readiness risk being marginalized if CAISI-driven evaluations become a precondition for procurement.